How to use OpenCV DNN face detector model in Tensorflow?
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I'm using the Tensorflow face detection model from OpenCV's DNN module through cv2.dnn.readNetFromTensorflow(). Now I'd like to do inference in Tensorflow directly in order to let it run on the GPU. I'm able to load the model in Tensorflow but I can't figure out how to feed an image to the model and retrieve results.
First problem: the nodes in the .pbtxt file and in the .pb file seem to differ. In the .pbtxt file I can see a 'detection_out' node which should be the result. This node can't be found in the .pb file.
KeyError: "The name 'detection_out:0' refers to a Tensor which does not exist. The operation, 'detection_out', does not exist in the graph."
So how can I retrieve a result?
Second problem: when I change the output to a node which exists in the .pb file I get another error message:
InvalidArgumentError (see above for traceback): No OpKernel was registered to support Op 'Dequantize' with these attrs. Registered devices: [CPU,GPU], Registered kernels:
This model runs fine in OpenCV. Since it's a Tensorflow model one should be able to run it in TF directly, right? But how?
opencv tensorflow face-detection
asked Nov 10 at 9:14
Zac Diggum
235
add a comment |
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0
down vote
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I'm using the Tensorflow face detection model from OpenCV's DNN module through cv2.dnn.readNetFromTensorflow(). Now I'd like to do inference in Tensorflow directly in order to let it run on the GPU. I'm able to load the model in Tensorflow but I can't figure out how to feed an image to the model and retrieve results.
First problem: the nodes in the .pbtxt file and in the .pb file seem to differ. In the .pbtxt file I can see a 'detection_out' node which should be the result. This node can't be found in the .pb file.
KeyError: "The name 'detection_out:0' refers to a Tensor which does not exist. The operation, 'detection_out', does not exist in the graph."
So how can I retrieve a result?
Second problem: when I change the output to a node which exists in the .pb file I get another error message:
InvalidArgumentError (see above for traceback): No OpKernel was registered to support Op 'Dequantize' with these attrs. Registered devices: [CPU,GPU], Registered kernels:
This model runs fine in OpenCV. Since it's a Tensorflow model one should be able to run it in TF directly, right? But how?
opencv tensorflow face-detection
asked Nov 10 at 9:14
Zac Diggum
235
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
I'm using the Tensorflow face detection model from OpenCV's DNN module through cv2.dnn.readNetFromTensorflow(). Now I'd like to do inference in Tensorflow directly in order to let it run on the GPU. I'm able to load the model in Tensorflow but I can't figure out how to feed an image to the model and retrieve results.
First problem: the nodes in the .pbtxt file and in the .pb file seem to differ. In the .pbtxt file I can see a 'detection_out' node which should be the result. This node can't be found in the .pb file.
KeyError: "The name 'detection_out:0' refers to a Tensor which does not exist. The operation, 'detection_out', does not exist in the graph."
So how can I retrieve a result?
Second problem: when I change the output to a node which exists in the .pb file I get another error message:
InvalidArgumentError (see above for traceback): No OpKernel was registered to support Op 'Dequantize' with these attrs. Registered devices: [CPU,GPU], Registered kernels:
This model runs fine in OpenCV. Since it's a Tensorflow model one should be able to run it in TF directly, right? But how?
opencv tensorflow face-detection
asked Nov 10 at 9:14
Zac Diggum
235
I'm using the Tensorflow face detection model from OpenCV's DNN module through cv2.dnn.readNetFromTensorflow(). Now I'd like to do inference in Tensorflow directly in order to let it run on the GPU. I'm able to load the model in Tensorflow but I can't figure out how to feed an image to the model and retrieve results.
First problem: the nodes in the .pbtxt file and in the .pb file seem to differ. In the .pbtxt file I can see a 'detection_out' node which should be the result. This node can't be found in the .pb file.
KeyError: "The name 'detection_out:0' refers to a Tensor which does not exist. The operation, 'detection_out', does not exist in the graph."
So how can I retrieve a result?
Second problem: when I change the output to a node which exists in the .pb file I get another error message:
InvalidArgumentError (see above for traceback): No OpKernel was registered to support Op 'Dequantize' with these attrs. Registered devices: [CPU,GPU], Registered kernels:
This model runs fine in OpenCV. Since it's a Tensorflow model one should be able to run it in TF directly, right? But how?
opencv tensorflow face-detection
opencv tensorflow face-detection
asked Nov 10 at 9:14
Zac Diggum
235
asked Nov 10 at 9:14
Zac Diggum
235
asked Nov 10 at 9:14
Zac Diggum
235
asked Nov 10 at 9:14
Zac Diggum
235
asked Nov 10 at 9:14
Zac Diggum
235
235
add a comment |
add a comment |
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